Savov I. No Bullshit Guide to Linear Algebra

Montreal: Ivan Savov, 2016. — 518 p.Linear algebra is the study of vectors and linear transformations on vectors, which can be represented as matrices.
Learning linear algebra will open many doors for you. You need linear algebra to understand computer graphics, machine learning, quantum mechanics, error correcting codes, etc. Vectors and matrices are used all over the place! If high-school math is modelling superpowers, then linear algebra is the vector-upgrade that teaches you how to model multivariable quantities and gives you the intuition for thinking about them.